I run the following models..Decision tree, Logistic Regression,Naive Bayes, SVM and Random Forest ..I am given certain input features and Respnse feature as whether a customer will buy the product or not in that context i am asking this question , i went through possibly all definitions available on internate but could not be able to properly figure out which measure i should consider as proper performance measure , so far as my models are concern Is there any proper meaning for the following concepts in data analysis.
Precision
Recall
F measure
I am looking for an easy explanation of these concepts with example?